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Data Scientist - Cloud AI Services & Managed Platforms

Cloud AI Services & Managed Platforms for Data Scientist: A comprehensive guide to mastering Cloud AI Services & Managed Platforms as a Data Scientist. Learn recommended tools, practical applications, and resources to develop this critical AI skill.

AI/ML Foundations & LLMs

Modern AI/ML foundations including LLM applications, advanced frameworks, and model optimization techniques.

Advanced AI Techniques

Cutting-edge AI techniques including multimodal AI, reinforcement learning, and federated learning systems.

AI Infrastructure & MLOps

Building scalable AI infrastructure, MLOps pipelines, and production-ready AI systems with monitoring.

AI-Driven Data Engineering

AI-enhanced data engineering including vector databases, real-time pipelines, and intelligent data quality systems.

AI Research & Innovation

Research implementation, AI safety, and contributing to the advancement of AI technology and ethics.

Cloud AI Services & Managed Platforms

Skill Description

Deploying LLMs using managed services, building scalable inference endpoints, and integrating AI services into data pipelines.

Recommended Tools
Essential AI tools and platforms for this skill
Practical Examples
Real-world applications and use cases
  • Deploy LLMs using managed cloud services
  • Build scalable inference endpoints with auto-scaling
  • Implement cost-effective model serving strategies
  • Integrate AI services into existing data pipelines